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Good point. i’m making the assumption that if the LLM has a more limited feature space to produce as output, then the output is more predictable, and thus faste
by gervwyk 1y ago
Good point. i’m making the assumption that if the LLM has a more limited feature space to produce as output, then the output is more predictable, and thus faster to comprehend changes. Similar to when devs use popular libraries, there is a well known abstraction, therefore less “new” code to comprehend as i see familiar functions, making the code predictable to me.
- hamandcheese 1y agoI think we are essentially describing the same thing. You just want to achieve it by constraining the input space at a significantly higher level (yaml schema defines the output space instead of a compiler and/or test suite). I still think you'll be at a significant disadvantage since the LLM has been trained on millions of lines of all mainstream languages, and 0 lines of gervwyks funny yaml lang.